Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach

Mateusz Kalisch, Marcin Michalak, Marek Sikora, Lukasz Wróbel, Piotr Przystalka. Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach. In Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II. Volume 9693 of Lecture Notes in Computer Science, pages 73-87, Springer, 2016. [doi]

@inproceedings{KalischMSWP16,
  title = {Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach},
  author = {Mateusz Kalisch and Marcin Michalak and Marek Sikora and Lukasz Wróbel and Piotr Przystalka},
  year = {2016},
  doi = {10.1007/978-3-319-39384-1_7},
  url = {http://dx.doi.org/10.1007/978-3-319-39384-1_7},
  researchr = {https://researchr.org/publication/KalischMSWP16},
  cites = {0},
  citedby = {0},
  pages = {73-87},
  booktitle = {Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II},
  editor = {Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada},
  volume = {9693},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-39383-4},
}